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  <h3><a href="../contents.html">Table of Contents</a></h3>
  <ul>
<li><a class="reference internal" href="#">Sorting, searching, and counting</a><ul>
<li><a class="reference internal" href="#sorting">Sorting</a></li>
<li><a class="reference internal" href="#searching">Searching</a></li>
<li><a class="reference internal" href="#counting">Counting</a></li>
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  <div class="section" id="sorting-searching-and-counting">
<h1>Sorting, searching, and counting<a class="headerlink" href="#sorting-searching-and-counting" title="Permalink to this headline">¶</a></h1>
<div class="section" id="sorting">
<h2>Sorting<a class="headerlink" href="#sorting" title="Permalink to this headline">¶</a></h2>
<table class="longtable docutils align-default">
<colgroup>
<col style="width: 10%" />
<col style="width: 90%" />
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.sort.html#numpy.sort" title="numpy.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sort</span></code></a>(a[, axis, kind, order])</p></td>
<td><p>Return a sorted copy of an array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.lexsort.html#numpy.lexsort" title="numpy.lexsort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lexsort</span></code></a>(keys[, axis])</p></td>
<td><p>Perform an indirect stable sort using a sequence of keys.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.argsort.html#numpy.argsort" title="numpy.argsort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argsort</span></code></a>(a[, axis, kind, order])</p></td>
<td><p>Returns the indices that would sort an array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ndarray.sort.html#numpy.ndarray.sort" title="numpy.ndarray.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ndarray.sort</span></code></a>([axis, kind, order])</p></td>
<td><p>Sort an array in-place.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.msort.html#numpy.msort" title="numpy.msort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">msort</span></code></a>(a)</p></td>
<td><p>Return a copy of an array sorted along the first axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.sort_complex.html#numpy.sort_complex" title="numpy.sort_complex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sort_complex</span></code></a>(a)</p></td>
<td><p>Sort a complex array using the real part first, then the imaginary part.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.partition.html#numpy.partition" title="numpy.partition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">partition</span></code></a>(a, kth[, axis, kind, order])</p></td>
<td><p>Return a partitioned copy of an array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.argpartition.html#numpy.argpartition" title="numpy.argpartition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argpartition</span></code></a>(a, kth[, axis, kind, order])</p></td>
<td><p>Perform an indirect partition along the given axis using the algorithm specified by the <em class="xref py py-obj">kind</em> keyword.</p></td>
</tr>
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</table>
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<div class="section" id="searching">
<h2>Searching<a class="headerlink" href="#searching" title="Permalink to this headline">¶</a></h2>
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<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.argmax.html#numpy.argmax" title="numpy.argmax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argmax</span></code></a>(a[, axis, out])</p></td>
<td><p>Returns the indices of the maximum values along an axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.nanargmax.html#numpy.nanargmax" title="numpy.nanargmax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nanargmax</span></code></a>(a[, axis])</p></td>
<td><p>Return the indices of the maximum values in the specified axis ignoring NaNs.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.argmin.html#numpy.argmin" title="numpy.argmin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argmin</span></code></a>(a[, axis, out])</p></td>
<td><p>Returns the indices of the minimum values along an axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.nanargmin.html#numpy.nanargmin" title="numpy.nanargmin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nanargmin</span></code></a>(a[, axis])</p></td>
<td><p>Return the indices of the minimum values in the specified axis ignoring NaNs.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.argwhere.html#numpy.argwhere" title="numpy.argwhere"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argwhere</span></code></a>(a)</p></td>
<td><p>Find the indices of array elements that are non-zero, grouped by element.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.nonzero.html#numpy.nonzero" title="numpy.nonzero"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nonzero</span></code></a>(a)</p></td>
<td><p>Return the indices of the elements that are non-zero.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.flatnonzero.html#numpy.flatnonzero" title="numpy.flatnonzero"><code class="xref py py-obj docutils literal notranslate"><span class="pre">flatnonzero</span></code></a>(a)</p></td>
<td><p>Return indices that are non-zero in the flattened version of a.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.where.html#numpy.where" title="numpy.where"><code class="xref py py-obj docutils literal notranslate"><span class="pre">where</span></code></a>(condition, [x, y])</p></td>
<td><p>Return elements chosen from <em class="xref py py-obj">x</em> or <em class="xref py py-obj">y</em> depending on <em class="xref py py-obj">condition</em>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.searchsorted.html#numpy.searchsorted" title="numpy.searchsorted"><code class="xref py py-obj docutils literal notranslate"><span class="pre">searchsorted</span></code></a>(a, v[, side, sorter])</p></td>
<td><p>Find indices where elements should be inserted to maintain order.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.extract.html#numpy.extract" title="numpy.extract"><code class="xref py py-obj docutils literal notranslate"><span class="pre">extract</span></code></a>(condition, arr)</p></td>
<td><p>Return the elements of an array that satisfy some condition.</p></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="counting">
<h2>Counting<a class="headerlink" href="#counting" title="Permalink to this headline">¶</a></h2>
<table class="longtable docutils align-default">
<colgroup>
<col style="width: 10%" />
<col style="width: 90%" />
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.count_nonzero.html#numpy.count_nonzero" title="numpy.count_nonzero"><code class="xref py py-obj docutils literal notranslate"><span class="pre">count_nonzero</span></code></a>(a[, axis])</p></td>
<td><p>Counts the number of non-zero values in the array <code class="docutils literal notranslate"><span class="pre">a</span></code>.</p></td>
</tr>
</tbody>
</table>
</div>
</div>


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